Warner, M;
Maestre, JF;
Gibbs, J;
Chung, C-F;
Blandford, A;
(2019)
Signal Appropriation of Explicit HIV Status Disclosure Fields in Sex-Social Apps used by Gay and Bisexual Men.
In:
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-15).
ACM: New York, NY, USA.
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Abstract
HIV status disclosure fields in online sex-social applications ("apps") are designed to help increase awareness, reduce stigma, and promote sexual health. Public disclosure could also help those diagnosed relate to others with similar statuses to feel less isolated. However, in our interview study (n=28) with HIV positive and negative men who have sex with men (MSM), we found some users preferred to keep their status private, especially when disclosure could stigmatise and disadvantage them, or risk revealing their status to someone they knew offline in a different context. How do users manage these tensions between health, stigma, and privacy? We analysed our interview data using signalling theory as a conceptual framework and identify participants developing 'signal appropriation' strategies, helping them manage the disclosure of their HIV status. Additionally, we propose a set of design considerations that explore the use of signals in the design of sensitive disclosure fields.
Type: | Proceedings paper |
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Title: | Signal Appropriation of Explicit HIV Status Disclosure Fields in Sex-Social Apps used by Gay and Bisexual Men |
Event: | CHI '19 CHI Conference on Human Factors in Computing Systems, Glasgow, Scotland, 4-9 May 2019 |
Location: | Glasgow, Scotland UK |
Dates: | 04 May 2019 - 09 May 2019 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3290605.3300922 |
Publisher version: | https://doi.org/10.1145/3290605.3300922 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | signal appropriation, signalling theory, online dating, privacy unraveling, HIV disclosure, stigma, stigmatized populations |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10064771 |
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